Structured Neural Networks for Density Estimation and Causal Inference.

Asic Q. Chen Ruian Shi Xiang Gao Ricardo Baptista Rahul G. Krishnan

Published in: CoRR (2023)

Keyphrases

density estimation
causal inference
neural network
additive noise
mixture model
probability density function
pattern recognition
abductive reasoning
discrete data
causal models
outlier detection
nonmonotonic reasoning
gaussian mixture model
em algorithm
observational data
active learning
data sets